A model for prediction of rockburst by artificial neural network

CHEN Haijun; LI Nenghui; NIE Dexin; SHANG Yuequan

PDF
Cite
Share

facebook

twitter

google

linkedin

Volume 24 Issue 2

Turn off MathJax

Article Contents

Abstract

References

Chinese Journal of Geotechnical Engineering > 2002 > 24(2): 229-232.

CHEN Haijun, LI Nenghui, NIE Dexin, SHANG Yuequan. A model for prediction of rockburst by artificial neural network[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(2): 229-232.

Citation:

CHEN Haijun, LI Nenghui, NIE Dexin, SHANG Yuequan. A model for prediction of rockburst by artificial neural network[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(2): 229-232.

Citation:

CHEN Haijun, LI Nenghui, NIE Dexin, SHANG Yuequan. A model for prediction of rockburst by artificial neural network[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(2): 229-232.

PDF (1377 KB)

A model for prediction of rockburst by artificial neural network

1.Geotechnical Engineering Department Nanjing Hydraulic Research Institute Nanjing 210024 China 2.Engineering Geological Institute Chengdu University of Technology Chengdu 610059 China

More Information

Published Date: March 21, 2002

Graphical Abstract

Abstract

Abstract

Based on the analysis of main causes of rockburst,the compressive strength,the tensile strength,the elastic energy index of the rock and the maximum tangential stress of the cavern wall are chosen as the indexes of criterion for rockburst prediction.A new model using neural network method is proposed to predict rockburst occurrence and its intensity.The predicted results show that it is feasible and valid to use artificial neural network model for predicting rockburst
- rockburst,
- prediction,
- neural network,
- improving BP algorithm,
- underground rock engineering